Meaningful work,
meaningful life

We are seeking an experienced Data Engineer Architect to design, develop, and optimize data architectures that support real-time data streaming, analytics, and large-scale data processing. Key Responsibilities: • Design and implement scalable, reliable, and high-performance data architectures to support business needs. • Develop and maintain real-time data streaming solutions using Kafka and other streaming technologies. • Utilize AWS cloud services to build and manage data infrastructure, ensuring security, performance, and cost optimization. • Create efficient and optimized data models for structured and unstructured datasets. • Develop, optimize, and maintain SQL queries for data processing, analysis, and reporting. • Work with cross-functional teams to define data requirements and implement solutions that align with business goals. • Implement ETL/ELT pipelines using Python and other relevant tools. • Ensure data quality, consistency, and governance across the organization. • Troubleshoot and resolve issues related to data pipelines and infrastructure. Required Skills and Qualifications: • Experience in Data Engineering and Architecture. • Proficiency in Python for data processing and automation. • Strong expertise in AWS (S3, Redshift, Glue, Lambda, EMR, etc.) for cloud-based data solutions. • Hands-on experience with Kafka for real-time data streaming. • Deep understanding of data modeling principles for transactional and analytical workloads. • Strong knowledge of SQL for querying and performance optimization. • Experience in building and maintaining ETL/ELT pipelines. • Familiarity with big data technologies like Spark, Hadoop, or Snowflake is a plus. • Strong problem-solving skills and ability to work in a fast-paced environment. • Excellent communication and stakeholder management skills.